Automatic inspection of LED indicators on automobile meters based on a seeded region growing algorithm

Zhou, Hong; Xu, Hai-er; He, Peiqi; Song, Zhi-bai; Geng, Chenge

doi:10.1631/jzus.c0910144

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Usually Hue(H) and Saturation(S) are called the chroma generally, used to denote the types of color and the level of concentration. The sensitive degree of men's vision to brightness is higher than that of color shade, on color processing and recognition, HSI color space is more, according with visual characteristic, than RGB model, for visual system [3,4,5] . The large algorithms used in image processing and machine vision can be used in HSI color space.…”

Section: The Colour Model Of Bucket Mark For Excavator Robotmentioning

confidence: 99%

The Recognition of Target and Attitude of Bucket for Excavator Robot Based on Color Mark Tracking

Wang

Liu

Jiao

et al. 2011

AMR

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The excavator robot need to track bucket goal and its attitude real-time and dynamically during it’s autonomous mining. On the basis of analyzing basic action of mining operations, collected sequence image of mining process of bucket. To reduce the effect of light environment to image processing, use the target tracking method based on color characteristics to recognize color mark block. The bucket attitude angle can be recognized according to the mark of angle attitude of bucket; the bucket target can be recognized according to the mark block of bucket target. Due to sheltered phenomenon, use stripe color block to recognize bucket target while mining process. The color mark block resolve the target tracking problem for bucket, but also fussing the information of pressure sensor of bucket, thus establishing the foundation for subsequent realization based on behavior of autonomous mining.

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Section: The Colour Model Of Bucket Mark For Excavator Robotmentioning

confidence: 99%